Automated planning of MRI neuro scans

Stewart Young; Daniel Bystrov; Thomas Netsch; Rene Bergmans; Arianne van Muiswinkel; Fredy Visser; Rudolf Sprigorum; Jürgen Gieseke

doi:10.1117/12.652160

10 March 2006 Automated planning of MRI neuro scans

Stewart Young, Daniel Bystrov, Thomas Netsch, Rene Bergmans, Arianne van Muiswinkel, Fredy Visser, Rudolf Sprigorum, Jürgen Gieseke

Author Affiliations +

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61441M (2006) https://doi.org/10.1117/12.652160
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

In clinical MRI examinations, the geometry of diagnostic scans is defined in an initial planning phase. The operator plans the scan volumes (off-centre, angulation, field-of-view) with respect to patient anatomy in 'scout' images. Often multiple plans are required within a single examination, distracting attention from the patient waiting in the scanner. A novel and robust method is described for automated planning of neurological MRI scans, capable of handling strong shape deviations from healthy anatomy. The expert knowledge required to position scan geometries is learned from previous example plans, allowing site-specific styles to be readily taken into account. The proposed method first fits an anatomical model to the scout data, and then new scan geometries are positioned with respect to extracted landmarks. The accuracy of landmark extraction was measured to be comparable to the inter-observer variability, and automated plans are shown to be highly consistent with those created by expert operators using clinical data. The results of the presented evaluation demonstrate the robustness and applicability of the proposed approach, which has the potential to significantly improve clinical workflow.

Citation Download Citation

Stewart Young, Daniel Bystrov, Thomas Netsch, Rene Bergmans, Arianne van Muiswinkel, Fredy Visser, Rudolf Sprigorum, and Jürgen Gieseke "Automated planning of MRI neuro scans", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61441M (10 March 2006); https://doi.org/10.1117/12.652160

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available